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  • GPX4
CANCER LIVER CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
LIHC TCGA LIHC VALIDATION PROTEIN LIHC CPTAC PROTEIN EXPRESSION
ANTIBODIES
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VALIDATION
Dictionary
Liver cancer
Human cancer
Liver hepatocellular carcinoma
LIVER HEPATOCELLULAR CARCINOMA (TCGA) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

GPX4 is potential prognostic, high expression is unfavorable in Liver Hepatocellular Carcinoma (TCGA)


Stage:


Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 829.83
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 700.2
Number of samples 362
Samples
Sample Description pTPM
TCGA-DD-A39V-01A 77 years, male, white, stage:Stage II, dead, 643 days 1897.0
TCGA-DD-A3A7-01A 67 years, male, stage:Stage IIIB, dead, 419 days 1762.9
TCGA-DD-AAE3-01A 50 years, male, asian, stage:Stage I, alive, 566 days 1750.7
TCGA-ED-A7XO-01A 29 years, male, asian, stage:Stage IIIA, alive, 427 days 1609.8
TCGA-CC-A8HU-01A 39 years, female, asian, stage:Stage IIIA, dead, 344 days 1597.3
TCGA-DD-A3A6-01A 72 years, female, white, stage:Stage II, dead, 3258 days 1475.1
TCGA-DD-A73G-01A 73 years, female, white, stage:Stage I, alive, 3478 days 1468.2
TCGA-CC-A7IG-01A 47 years, male, asian, stage:Stage II, dead, 299 days 1441.5
TCGA-DD-AAEE-01A 55 years, male, asian, stage:Stage I, alive, 810 days 1384.0
TCGA-BC-A217-01A 75 years, female, white, stage:Stage II, dead, 1397 days 1360.1
TCGA-G3-AAV6-01A 53 years, female, white, stage:Stage IIIA, dead, 65 days 1349.8
TCGA-YA-A8S7-01A 68 years, male, white, stage:Stage IIIA, dead, 412 days 1295.4
TCGA-G3-A25S-01A 64 years, male, white, stage:Stage I, dead, 416 days 1287.4
TCGA-DD-A39Y-01A 67 years, male, asian, stage:Stage I, dead, 171 days 1254.0
TCGA-UB-A7MA-01A 62 years, female, white, stage:Stage II, alive, 848 days 1244.7
TCGA-DD-A1EJ-01A 71 years, female, white, stage:Stage IIIC, dead, 1005 days 1241.7
TCGA-DD-AADF-01A 64 years, female, asian, stage:Stage I, dead, 115 days 1235.8
TCGA-DD-AAVU-01A 46 years, male, asian, stage:Stage II, alive, 2202 days 1231.7
TCGA-CC-A9FW-01A 68 years, male, asian, stage:Stage IIIA, alive, 248 days 1216.5
TCGA-FV-A3R2-01A 75 years, male, white, stage:Stage I, dead, 194 days 1211.4
TCGA-KR-A7K8-01A 57 years, male, stage:Stage I, alive, 906 days 1193.6
TCGA-G3-A7M5-01A 76 years, male, asian, stage:Stage I, alive, 447 days 1175.0
TCGA-DD-AA3A-01A 81 years, female, white, stage:Stage I, dead, 410 days 1174.8
TCGA-BC-A10Z-01A 62 years, female, white, stage:Stage I, dead, 34 days 1168.5
TCGA-FV-A4ZP-01A 78 years, male, white, stage:Stage IIIA, dead, 2486 days 1166.1
TCGA-WQ-A9G7-01A 71 years, female, white, stage:'--, alive, 30 days 1165.9
TCGA-DD-A114-01A 42 years, male, black or african american, stage:Stage II, dead, 1149 days 1161.6
TCGA-FV-A2QR-01A 75 years, male, white, stage:Stage I, dead, 581 days 1143.3
TCGA-ED-A7PZ-01A 61 years, male, asian, stage:Stage II, alive, 6 days 1140.2
TCGA-FV-A495-01A 51 years, female, white, stage:Stage II, alive, 1 days 1134.8
TCGA-FV-A2QQ-01A 80 years, male, white, stage:Stage I, alive, 729 days 1133.1
TCGA-2Y-A9H9-01A 70 years, male, white, stage:Stage I, alive, 697 days 1123.6
TCGA-BC-A10R-01A 66 years, female, white, stage:'--, dead, 308 days 1122.0
TCGA-DD-A4NA-01A 67 years, female, white, stage:Stage IIIC, alive, 1008 days 1116.7
TCGA-RC-A7SB-01A 53 years, male, asian, stage:Stage II, alive, 588 days 1103.8
TCGA-DD-A3A9-01A 64 years, female, white, stage:Stage IVB, dead, 931 days 1098.0
TCGA-DD-A39Z-01A 43 years, female, stage:Stage II, dead, 601 days 1091.2
TCGA-MI-A75G-01A 63 years, male, white, stage:Stage II, alive, 698 days 1089.2
TCGA-CC-A7IL-01A 61 years, male, asian, stage:Stage IIIA, dead, 278 days 1082.7
TCGA-DD-AAC8-01A 72 years, male, asian, stage:Stage I, dead, 16 days 1062.5
TCGA-UB-A7MD-01A 67 years, male, black or african american, stage:Stage I, dead, 52 days 1060.7
TCGA-ES-A2HS-01A 80 years, male, white, stage:Stage I, dead, 688 days 1055.6
TCGA-GJ-A9DB-01A 68 years, male, white, stage:Stage I, dead, 67 days 1045.4
TCGA-MI-A75I-01A 61 years, male, black or african american, stage:'--, alive, 630 days 1045.4
TCGA-GJ-A6C0-01A 75 years, female, white, stage:Stage II, dead, 31 days 1042.5
TCGA-CC-5262-01A 67 years, male, asian, stage:Stage IIIC, dead, 103 days 1037.6
TCGA-BW-A5NO-01A 50 years, male, black or african american, stage:Stage IIIA, alive, 20 days 1015.1
TCGA-WJ-A86L-01A 68 years, female, white, stage:Stage I, alive, 345 days 1010.2
TCGA-FV-A23B-01A 70 years, female, white, stage:Stage II, dead, 1852 days 1004.7
TCGA-NI-A4U2-01A 71 years, male, white, stage:Stage IIIA, dead, 1791 days 1003.2
TCGA-2Y-A9H6-01A 68 years, female, white, stage:Stage I, alive, 357 days 990.8
TCGA-BC-A3KG-01A 68 years, female, white, stage:Stage II, alive, 680 days 971.9
TCGA-MI-A75E-01A 61 years, male, white, stage:Stage IIIC, alive, 507 days 964.1
TCGA-DD-A3A1-01A 65 years, male, stage:Stage IIIA, dead, 233 days 961.8
TCGA-DD-A4NV-01A 61 years, male, white, stage:Stage IIIA, alive, 2398 days 955.0
TCGA-DD-AAVY-01A 56 years, male, asian, stage:Stage IIIA, alive, 1970 days 948.5
TCGA-DD-AADM-01A 58 years, male, asian, stage:Stage II, dead, 12 days 942.4
TCGA-2Y-A9HA-01A 70 years, male, white, stage:Stage II, dead, 36 days 940.2
TCGA-DD-AAD8-01A 73 years, female, asian, stage:Stage I, alive, 1219 days 940.1
TCGA-DD-A4NN-01A 56 years, female, white, stage:Stage I, dead, 899 days 938.4
TCGA-G3-AAUZ-01A 48 years, male, stage:Stage I, alive, 480 days 935.5
TCGA-DD-AADW-01A 48 years, male, asian, stage:Stage I, alive, 587 days 933.8
TCGA-DD-AAD0-01A 73 years, female, asian, stage:Stage I, alive, 137 days 930.2
TCGA-G3-AAV0-01A 58 years, male, asian, stage:Stage I, alive, 476 days 925.4
TCGA-WX-AA44-01A 64 years, female, white, stage:Stage I, alive, 615 days 923.9
TCGA-PD-A5DF-01A 58 years, female, white, stage:Stage IIIB, dead, 639 days 920.7
TCGA-G3-AAV5-01A 67 years, male, white, stage:Stage II, alive, 354 days 917.6
TCGA-DD-AADS-01A 63 years, male, asian, stage:Stage I, alive, 474 days 917.2
TCGA-FV-A3I0-01A 76 years, female, white, stage:Stage II, alive, 848 days 914.4
TCGA-KR-A7K2-01A 64 years, male, white, stage:Stage I, alive, 829 days 909.9
TCGA-KR-A7K0-01A 65 years, male, white, stage:Stage I, dead, 65 days 905.6
TCGA-DD-AACV-01A 53 years, male, asian, stage:Stage I, alive, 1531 days 901.7
TCGA-RC-A6M6-01A 75 years, male, white, stage:Stage II, alive, 9 days 899.5
TCGA-DD-AAEI-01A 72 years, male, asian, stage:Stage I, alive, 1531 days 898.9
TCGA-CC-A9FS-01A 55 years, male, asian, stage:Stage II, alive, 211 days 897.9
TCGA-DD-AADV-01A 50 years, male, asian, stage:Stage I, alive, 574 days 896.8
TCGA-5C-AAPD-01A 61 years, male, asian, stage:Stage II, alive, 20 days 896.1
TCGA-DD-A1EF-01A 57 years, female, white, stage:Stage I, dead, 394 days 893.7
TCGA-CC-A3MB-01A 36 years, male, asian, stage:Stage IIIA, dead, 315 days 885.8
TCGA-BC-A10U-01A 69 years, male, white, stage:'--, dead, 837 days 883.8
TCGA-BD-A2L6-01A 69 years, male, white, stage:'--, alive, 1363 days 878.8
TCGA-RC-A7SK-01A 59 years, male, asian, stage:Stage I, alive, 472 days 873.2
TCGA-ZS-A9CG-01A 55 years, male, white, stage:Stage II, alive, 341 days 869.2
TCGA-DD-A73B-01A 72 years, female, white, stage:Stage I, dead, 283 days 867.4
TCGA-DD-AACB-01A 74 years, female, asian, stage:Stage I, alive, 2324 days 861.5
TCGA-DD-AADC-01A 53 years, male, asian, stage:Stage I, dead, 425 days 853.8
TCGA-DD-A1EG-01A 76 years, male, white, stage:Stage I, dead, 1372 days 853.0
TCGA-EP-A3RK-01A 73 years, male, white, stage:Stage IIIA, alive, 363 days 849.8
TCGA-2Y-A9H1-01A 58 years, male, white, stage:Stage I, dead, 1229 days 849.1
TCGA-EP-A3JL-01A 76 years, male, white, stage:Stage I, alive, 303 days 846.4
TCGA-DD-A4NO-01A 65 years, male, white, stage:Stage I, alive, 2245 days 845.4
TCGA-G3-AAV4-01A 83 years, female, white, stage:Stage I, dead, 27 days 842.7
TCGA-BC-A10Q-01A 72 years, female, white, stage:'--, dead, 1135 days 842.2
TCGA-2Y-A9GZ-01A 82 years, female, white, stage:Stage II, dead, 848 days 838.8
TCGA-BC-A69H-01A 64 years, male, white, stage:Stage II, alive, 444 days 833.5
TCGA-DD-AAE9-01A 69 years, male, asian, stage:Stage I, alive, 722 days 832.5
TCGA-DD-A3A8-01A 75 years, male, white, stage:Stage II, dead, 11 days 830.7
TCGA-5R-AA1C-01A 57 years, male, white, stage:Stage II, alive, 520 days 828.9
TCGA-DD-AADY-01A 55 years, female, asian, stage:Stage I, alive, 555 days 828.4
TCGA-ED-A7XP-01A 53 years, female, asian, stage:Stage II, alive, 400 days 826.4
TCGA-DD-A3A3-01A 45 years, male, asian, stage:Stage I, dead, 535 days 825.1
TCGA-MI-A75H-01A 77 years, male, white, stage:'--, alive, 747 days 823.6
TCGA-DD-AAEK-01A 51 years, male, asian, stage:Stage II, alive, 1067 days 817.1
TCGA-DD-A1EK-01A 64 years, female, white, stage:Stage IVB, dead, 558 days 816.9
TCGA-DD-A73C-01A 65 years, female, white, stage:Stage IIIA, alive, 701 days 815.3
TCGA-DD-AACS-01A 39 years, male, asian, stage:Stage I, alive, 1804 days 808.2
TCGA-DD-AADG-01A 70 years, male, asian, stage:Stage IIIA, alive, 1145 days 799.5
TCGA-2Y-A9H8-01A 85 years, female, white, stage:'--, dead, 633 days 794.0
TCGA-LG-A6GG-01A 79 years, female, white, stage:Stage II, alive, 387 days 793.2
TCGA-DD-AACJ-01A 75 years, male, asian, stage:Stage II, alive, 2102 days 792.0
TCGA-2Y-A9H4-01A 68 years, male, black or african american, stage:Stage I, alive, 1452 days 787.4
TCGA-DD-A4NR-01A 85 years, female, white, stage:Stage I, dead, 9 days 787.3
TCGA-G3-AAV7-01A 38 years, male, asian, stage:Stage II, alive, 361 days 787.0
TCGA-ZS-A9CD-01A 73 years, male, white, stage:Stage II, dead, 1386 days 786.7
TCGA-DD-AADL-01A 58 years, male, asian, stage:Stage I, alive, 636 days 783.8
TCGA-DD-A3A5-01A 66 years, female, white, stage:Stage III, dead, 3125 days 783.3
TCGA-DD-AACU-01A 59 years, male, asian, stage:Stage I, alive, 1567 days 783.1
TCGA-2Y-A9H7-01A 81 years, female, white, stage:Stage I, alive, 1168 days 782.4
TCGA-EP-A12J-01A 62 years, male, black or african american, stage:Stage I, alive, 570 days 773.7
TCGA-ZP-A9D0-01A 67 years, female, black or african american, stage:'--, alive, 1091 days 771.2
TCGA-DD-AADP-01A 45 years, male, asian, stage:Stage I, alive, 458 days 768.1
TCGA-XR-A8TF-01A 74 years, male, white, stage:Stage I, dead, 693 days 766.6
TCGA-O8-A75V-01A 54 years, male, stage:Stage I, alive, 538 days 765.2
TCGA-KR-A7K7-01A 61 years, female, white, stage:Stage II, alive, 951 days 762.8
TCGA-DD-AACI-01A 69 years, male, asian, stage:Stage II, alive, 1618 days 760.3
TCGA-LG-A9QC-01A 48 years, male, white, stage:Stage I, alive, 425 days 760.0
TCGA-3K-AAZ8-01A 65 years, male, black or african american, stage:Stage IIIB, alive, 396 days 752.8
TCGA-DD-AAD3-01A 43 years, male, asian, stage:Stage I, alive, 1295 days 752.4
TCGA-EP-A2KB-01A 46 years, female, white, stage:Stage I, dead, 596 days 750.6
TCGA-5C-A9VG-01A 58 years, male, white, stage:Stage II, alive, 328 days 749.4
TCGA-DD-AACX-01A 66 years, male, asian, stage:Stage II, alive, 170 days 748.1
TCGA-DD-AADD-01A 51 years, male, asian, stage:Stage I, alive, 1231 days 745.1
TCGA-CC-5261-01A 44 years, male, asian, stage:Stage II, dead, 97 days 737.0
TCGA-ZP-A9D2-01A 51 years, male, white, stage:'--, dead, 765 days 736.5
TCGA-DD-A11C-01A 69 years, male, white, stage:Stage I, alive, 662 days 735.5
TCGA-2Y-A9H3-01A 45 years, male, white, stage:Stage II, alive, 1516 days 731.6
TCGA-DD-AAW0-01A 54 years, male, asian, stage:Stage I, alive, 2015 days 726.7
TCGA-DD-AACT-01A 69 years, female, asian, stage:Stage I, alive, 1562 days 726.7
TCGA-DD-A116-01A 68 years, male, asian, stage:Stage IIIA, dead, 1622 days 726.1
TCGA-DD-AACA-01A 65 years, male, asian, stage:Stage I, alive, 2301 days 726.0
TCGA-UB-A7MB-01A 24 years, male, white, stage:Stage II, alive, 601 days 724.3
TCGA-DD-AAW2-01A 69 years, male, asian, stage:Stage I, alive, 1855 days 722.1
TCGA-BC-A69I-01A 69 years, male, white, stage:Stage I, alive, 387 days 713.2
TCGA-UB-A7MC-01A 59 years, male, white, stage:Stage IIIA, alive, 500 days 708.9
TCGA-DD-AADR-01A 58 years, male, asian, stage:Stage I, alive, 2028 days 706.7
TCGA-CC-A7IH-01A 58 years, male, asian, stage:Stage IIIA, alive, 365 days 705.8
TCGA-DD-AADN-01A 59 years, male, asian, stage:Stage I, alive, 898 days 701.6
TCGA-CC-A1HT-01A 50 years, male, asian, stage:Stage IIIA, dead, 101 days 701.4
TCGA-DD-AAVP-01A 48 years, male, asian, stage:Stage I, alive, 2752 days 701.2
TCGA-DD-AAEA-01A 65 years, male, asian, stage:Stage I, alive, 575 days 700.9
TCGA-WQ-AB4B-01A 62 years, male, white, stage:Stage II, alive, 395 days 700.4
TCGA-G3-A25V-01A 68 years, male, white, stage:Stage I, alive, 860 days 698.2
TCGA-RC-A7SF-01A 66 years, male, asian, stage:Stage I, alive, 579 days 698.2
TCGA-ZS-A9CE-01A 79 years, female, white, stage:Stage II, alive, 1241 days 697.3
TCGA-G3-AAV3-01A 58 years, female, white, stage:Stage II, alive, 412 days 695.6
TCGA-DD-AAE4-01A 49 years, female, asian, stage:Stage I, alive, 608 days 694.5
TCGA-FV-A3R3-01A 38 years, female, white, stage:Stage I, dead, 366 days 692.0
TCGA-DD-AAW1-01A 55 years, male, asian, stage:Stage IIIA, alive, 1989 days 691.8
TCGA-CC-5263-01A 35 years, male, asian, stage:Stage IIIA, dead, 129 days 689.6
TCGA-UB-A7ME-01A 51 years, male, asian, stage:Stage I, alive, 486 days 688.8
TCGA-DD-AAE0-01A 45 years, female, asian, stage:Stage IIIA, alive, 555 days 686.0
TCGA-RC-A6M4-01A 74 years, female, white, stage:Stage IIIA, alive, 22 days 686.0
TCGA-BD-A3EP-01A 75 years, female, black or african american, stage:Stage I, alive, 409 days 683.9
TCGA-G3-AAV2-01A 50 years, male, white, stage:Stage I, alive, 372 days 683.4
TCGA-XR-A8TD-01A 49 years, female, white, stage:Stage IIIB, alive, 1030 days 680.8
TCGA-T1-A6J8-01A 68 years, male, white, stage:'--, alive, 23 days 679.7
TCGA-G3-A5SI-01A 44 years, male, asian, stage:Stage II, dead, 768 days 675.9
TCGA-DD-A4NH-01A 65 years, female, white, stage:Stage IIIB, alive, 917 days 671.4
TCGA-BC-A10Y-01A 76 years, male, white, stage:'--, dead, 711 days 670.2
TCGA-BC-A3KF-01A 66 years, female, white, stage:Stage I, alive, 8 days 669.2
TCGA-RC-A7SH-01A 42 years, male, asian, stage:Stage II, alive, 468 days 666.5
TCGA-DD-AACP-01A 64 years, male, asian, stage:Stage I, alive, 415 days 666.1
TCGA-CC-5260-01A 61 years, female, asian, stage:Stage IIIC, dead, 87 days 662.8
TCGA-G3-A5SJ-01A 59 years, male, white, stage:Stage I, alive, 698 days 661.9
TCGA-GJ-A3OU-01A 59 years, male, white, stage:Stage I, alive, 879 days 659.5
TCGA-ED-A82E-01A 60 years, female, asian, stage:Stage IIIA, alive, 408 days 658.2
TCGA-G3-A25X-01A 73 years, male, asian, stage:Stage II, alive, 1779 days 656.6
TCGA-DD-AADI-01A 43 years, female, asian, stage:Stage I, alive, 1085 days 656.5
TCGA-CC-5264-01A 71 years, male, asian, stage:Stage IIIA, dead, 102 days 656.3
TCGA-DD-A119-01A 40 years, male, asian, stage:Stage IV, dead, 223 days 653.8
TCGA-QA-A7B7-01A 48 years, male, black or african american, stage:Stage II, alive, 94 days 653.0
TCGA-5R-AAAM-01A 65 years, female, white, stage:Stage II, dead, 46 days 652.1
TCGA-G3-A7M9-01A 70 years, male, white, stage:Stage IIIB, dead, 56 days 651.9
TCGA-EP-A26S-01A 70 years, male, white, stage:Stage I, alive, 608 days 651.2
TCGA-DD-A11D-01A 57 years, female, white, stage:Stage I, dead, 1560 days 650.2
TCGA-EP-A2KC-01A 62 years, male, black or african american, stage:Stage I, dead, 19 days 649.5
TCGA-DD-AAW3-01A 69 years, male, asian, stage:Stage I, alive, 1633 days 648.5
TCGA-CC-A8HT-01A 74 years, male, asian, stage:Stage IIIA, dead, 140 days 645.9
TCGA-DD-A1EL-01A 23 years, male, black or african american, stage:Stage II, dead, 415 days 645.1
TCGA-DD-A73D-01A 68 years, female, white, stage:Stage II, alive, 693 days 645.0
TCGA-ED-A66X-01A 35 years, male, asian, stage:Stage IIIA, alive, 406 days 638.3
TCGA-G3-A5SL-01A 70 years, male, white, stage:Stage II, alive, 621 days 630.0
TCGA-CC-A7IK-01A 59 years, male, asian, stage:Stage IIIA, dead, 262 days 626.4
TCGA-ED-A8O6-01A 50 years, female, asian, stage:Stage IIIA, dead, 56 days 625.2
TCGA-K7-AAU7-01A 61 years, male, white, stage:Stage II, alive, 359 days 621.3
TCGA-K7-A5RG-01A 66 years, male, black or african american, stage:Stage I, alive, 519 days 618.8
TCGA-G3-A3CJ-01A 52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days 617.8
TCGA-DD-A1EB-01A 72 years, female, stage:Stage I, alive, 2017 days 617.6
TCGA-DD-A115-01A 53 years, male, white, stage:Stage IIIA, dead, 2542 days 615.3
TCGA-DD-AACE-01A 62 years, male, asian, stage:Stage I, alive, 2184 days 613.1
TCGA-G3-A7M7-01A 65 years, male, white, stage:Stage I, alive, 361 days 610.0
TCGA-DD-AADJ-01A 70 years, female, asian, stage:Stage I, alive, 1066 days 608.7
TCGA-BC-A10S-01A 81 years, male, white, stage:'--, dead, 1423 days 608.0
TCGA-DD-AADO-01A 55 years, male, asian, stage:Stage I, alive, 453 days 605.9
TCGA-CC-A123-01A 24 years, female, asian, stage:Stage IIIA, alive, 219 days 604.4
TCGA-ES-A2HT-01A 54 years, male, black or african american, stage:Stage I, dead, 438 days 602.0
TCGA-DD-A4NS-01A 61 years, female, white, stage:Stage I, dead, 2456 days 601.2
TCGA-CC-A3M9-01A 45 years, male, asian, stage:Stage IIIA, dead, 300 days 600.8
TCGA-BC-A5W4-01A 69 years, male, white, stage:Stage IIIA, dead, 547 days 600.5
TCGA-CC-A8HV-01A 51 years, female, asian, stage:Stage II, dead, 279 days 600.2
TCGA-DD-AAE2-01A 51 years, male, asian, stage:Stage I, alive, 638 days 599.5
TCGA-DD-AAVS-01A 56 years, male, asian, stage:Stage I, alive, 1823 days 591.7
TCGA-BC-A112-01A 80 years, male, white, stage:'--, dead, 153 days 590.7
TCGA-DD-AAVW-01A 35 years, male, asian, stage:Stage I, alive, 2317 days 590.4
TCGA-DD-AAEH-01A 73 years, male, asian, stage:Stage I, alive, 784 days 586.8
TCGA-DD-AAED-01A 51 years, male, asian, stage:Stage I, alive, 763 days 585.2
TCGA-2Y-A9GX-01A 68 years, male, white, stage:Stage I, alive, 2442 days 584.6
TCGA-G3-A25T-01A 45 years, female, white, stage:Stage IIIA, alive, 1553 days 581.7
TCGA-ZP-A9CZ-01A 72 years, male, asian, stage:'--, alive, 706 days 577.7
TCGA-ZS-A9CF-01A 64 years, male, white, stage:Stage II, alive, 2412 days 576.8
TCGA-DD-A3A4-01A 37 years, male, white, stage:Stage IIIA, dead, 612 days 575.9
TCGA-DD-A4NF-01A 72 years, male, white, stage:Stage I, alive, 942 days 574.6
TCGA-CC-A8HS-01A 18 years, male, asian, stage:Stage IIIC, dead, 300 days 574.3
TCGA-DD-AAVQ-01A 38 years, male, asian, stage:Stage I, alive, 2728 days 572.1
TCGA-HP-A5N0-01A 90 years, female, stage:'--, dead, 752 days 568.5
TCGA-DD-A4NB-01A 25 years, male, white, stage:Stage I, alive, 989 days 568.2
TCGA-DD-AACY-01A 61 years, male, asian, stage:Stage I, alive, 1450 days 568.0
TCGA-DD-AAVR-01A 44 years, male, asian, stage:Stage I, alive, 2513 days 565.3
TCGA-DD-A4NG-01A 77 years, male, white, stage:Stage IIIA, dead, 802 days 563.1
TCGA-HP-A5MZ-01A 78 years, male, stage:Stage I, dead, 91 days 562.0
TCGA-ED-A7PX-01A 48 years, female, asian, stage:Stage II, alive, 6 days 561.4
TCGA-ED-A66Y-01A 51 years, female, asian, stage:Stage IIIA, dead, 296 days 559.5
TCGA-ED-A7PY-01A 20 years, female, asian, stage:Stage II, alive, 390 days 556.6
TCGA-2Y-A9GS-01A 58 years, male, white, stage:'--, dead, 724 days 556.4
TCGA-DD-A4NK-01A 80 years, female, white, stage:Stage IIIA, dead, 1210 days 554.9
TCGA-CC-A7IF-01A 59 years, male, asian, stage:Stage IIIA, dead, 649 days 553.3
TCGA-DD-A1EE-01A 73 years, male, white, stage:Stage IIIA, dead, 349 days 553.1
TCGA-DD-A1EA-01A 68 years, male, asian, stage:Stage II, alive, 2415 days 551.6
TCGA-DD-A39W-01A 29 years, female, white, stage:Stage III, dead, 827 days 551.3
TCGA-G3-A25Y-01A 52 years, female, asian, stage:Stage I, dead, 452 days 550.7
TCGA-DD-AADU-01A 60 years, male, asian, stage:Stage II, alive, 554 days 548.5
TCGA-DD-A1EH-01A 23 years, male, white, stage:Stage III, alive, 1495 days 548.5
TCGA-DD-AACK-01A 70 years, male, asian, stage:Stage I, alive, 9 days 547.9
TCGA-DD-A3A2-01A 76 years, female, white, stage:Stage I, dead, 2131 days 547.6
TCGA-K7-A6G5-01A 66 years, male, white, stage:Stage I, alive, 512 days 547.2
TCGA-XR-A8TG-01A 58 years, male, white, stage:Stage I, alive, 898 days 544.2
TCGA-DD-A4ND-01A 56 years, female, white, stage:Stage I, alive, 2746 days 542.8
TCGA-5C-A9VH-01A 70 years, male, white, stage:Stage I, alive, 322 days 541.9
TCGA-DD-AAEB-01A 60 years, male, asian, stage:Stage I, alive, 478 days 539.1
TCGA-CC-A5UE-01A 48 years, male, asian, stage:Stage IIIB, dead, 272 days 539.0
TCGA-DD-AACH-01A 69 years, male, asian, stage:Stage II, dead, 195 days 531.3
TCGA-G3-A25Z-01A 58 years, male, asian, stage:Stage I, alive, 655 days 531.0
TCGA-DD-A73F-01A 77 years, female, white, stage:Stage I, alive, 1085 days 525.4
TCGA-2Y-A9H0-01A 49 years, male, white, stage:Stage IIIA, alive, 3675 days 523.1
TCGA-DD-AACZ-01A 63 years, female, asian, stage:Stage I, dead, 171 days 519.7
TCGA-2Y-A9GT-01A 51 years, male, white, stage:Stage I, dead, 1624 days 517.2
TCGA-2Y-A9GV-01A 54 years, female, white, stage:Stage I, dead, 2532 days 516.7
TCGA-DD-AACF-01A 68 years, male, asian, stage:Stage I, dead, 365 days 515.9
TCGA-FV-A4ZQ-01A 52 years, male, white, stage:Stage I, alive, 12 days 509.3
TCGA-G3-A6UC-01A 65 years, male, white, stage:Stage IIIB, alive, 671 days 509.1
TCGA-DD-A39X-01A 78 years, female, white, stage:Stage I, dead, 1694 days 504.6
TCGA-ZP-A9CY-01A 66 years, female, white, stage:'--, alive, 782 days 503.8
TCGA-DD-A113-01A 55 years, female, white, stage:Stage II, alive, 2425 days 503.7
TCGA-DD-AAD5-01A 54 years, male, asian, stage:Stage I, alive, 1345 days 503.1
TCGA-XR-A8TE-01A 16 years, male, white, stage:Stage IIIA, alive, 925 days 502.9
TCGA-DD-A11B-01A 73 years, male, white, stage:Stage I, dead, 14 days 499.0
TCGA-FV-A3I1-01A 81 years, female, white, stage:Stage II, dead, 247 days 498.7
TCGA-G3-AAV1-01A 51 years, male, asian, stage:Stage IIIC, dead, 359 days 497.9
TCGA-RG-A7D4-01A 69 years, male, black or african american, stage:Stage II, alive, 1098 days 497.0
TCGA-DD-A4NJ-01A 54 years, female, white, stage:Stage II, alive, 928 days 496.6
TCGA-DD-AAE1-01A 52 years, male, asian, stage:Stage I, alive, 552 days 496.2
TCGA-DD-A1EC-01A 20 years, female, white, stage:Stage I, alive, 602 days 492.4
TCGA-DD-AAD2-01A 66 years, male, asian, stage:Stage I, alive, 658 days 492.2
TCGA-G3-A5SM-01A 58 years, male, white, stage:Stage II, alive, 520 days 486.6
TCGA-DD-A73E-01A 66 years, male, white, stage:Stage I, alive, 44 days 485.0
TCGA-DD-AAVZ-01A 38 years, male, asian, stage:Stage I, alive, 1900 days 484.5
TCGA-EP-A2KA-01A 52 years, female, white, stage:Stage IIIA, dead, 627 days 479.5
TCGA-BC-A10X-01A 52 years, female, white, stage:Stage IIIA, dead, 770 days 478.0
TCGA-DD-AACD-01A 48 years, male, asian, stage:Stage I, dead, 381 days 474.9
TCGA-DD-AADB-01A 51 years, male, asian, stage:Stage I, alive, 1242 days 474.3
TCGA-2Y-A9GY-01A 64 years, female, white, stage:Stage II, dead, 757 days 471.0
TCGA-ZP-A9D1-01A 56 years, female, white, stage:'--, alive, 21 days 468.9
TCGA-RC-A6M5-01A 20 years, female, white, stage:Stage IVA, alive, 15 days 468.4
TCGA-DD-AACG-01A 52 years, male, asian, stage:Stage II, dead, 469 days 467.7
TCGA-DD-AAC9-01A 51 years, male, asian, stage:Stage I, alive, 347 days 467.5
TCGA-DD-AAE7-01A 72 years, male, asian, stage:Stage I, alive, 644 days 467.3
TCGA-UB-A7MF-01A 56 years, male, white, stage:Stage IIIA, dead, 214 days 466.8
TCGA-DD-AADK-01A 68 years, female, asian, stage:Stage II, alive, 1049 days 465.4
TCGA-G3-A3CK-01A 61 years, male, asian, stage:Stage I, alive, 585 days 465.3
TCGA-MR-A520-01A 58 years, male, white, stage:Stage I, alive, 229 days 465.1
TCGA-BC-A10T-01A 76 years, male, white, stage:'--, dead, 837 days 464.5
TCGA-G3-A3CG-01A 80 years, male, white, stage:Stage I, alive, 673 days 460.6
TCGA-DD-AACN-01A 32 years, male, asian, stage:Stage I, alive, 1302 days 459.0
TCGA-NI-A8LF-01A 74 years, male, white, stage:Stage I, alive, 799 days 458.5
TCGA-DD-AAVV-01A 56 years, male, asian, stage:Stage II, alive, 2455 days 458.2
TCGA-CC-A5UC-01A 63 years, male, asian, stage:Stage IIIA, dead, 347 days 457.0
TCGA-DD-AADQ-01A 59 years, male, asian, stage:Stage II, alive, 436 days 452.1
TCGA-K7-A5RF-01A 64 years, male, white, stage:Stage I, alive, 631 days 451.6
TCGA-DD-A73A-01A 71 years, male, white, stage:Stage I, alive, 728 days 451.1
TCGA-2Y-A9H2-01A 64 years, female, white, stage:Stage I, alive, 1731 days 451.0
TCGA-BC-A8YO-01A 66 years, female, white, stage:Stage IIIC, alive, 562 days 449.5
TCGA-DD-A1EI-01A 46 years, male, asian, stage:Stage I, alive, 183 days 447.7
TCGA-WX-AA46-01A 61 years, male, white, stage:Stage II, alive, 756 days 447.1
TCGA-BD-A3ER-01A 62 years, male, white, stage:Stage II, alive, 1115 days 446.3
TCGA-DD-A4NI-01A 67 years, male, white, stage:Stage II, alive, 816 days 444.5
TCGA-2Y-A9H5-01A 59 years, female, white, stage:Stage I, dead, 555 days 442.7
TCGA-DD-A118-01A 77 years, female, white, stage:Stage II, alive, 3437 days 442.5
TCGA-ED-A627-01A 74 years, male, white, stage:Stage I, alive, 423 days 441.6
TCGA-2Y-A9HB-01A 66 years, male, stage:Stage I, alive, 260 days 441.3
TCGA-ZP-A9CV-01A 59 years, male, white, stage:'--, dead, 1088 days 433.8
TCGA-DD-AAVX-01A 38 years, male, asian, stage:Stage II, alive, 1718 days 433.6
TCGA-DD-AAD1-01A 51 years, female, asian, stage:Stage I, alive, 564 days 432.3
TCGA-ZP-A9D4-01A 64 years, female, white, stage:'--, alive, 395 days 426.1
TCGA-CC-5259-01A 60 years, female, asian, stage:Stage IIIC, alive, 250 days 425.8
TCGA-CC-5258-01A 48 years, male, asian, stage:Stage II, dead, 129 days 424.6
TCGA-DD-AACQ-01A 50 years, male, asian, stage:Stage II, dead, 432 days 424.4
TCGA-G3-A3CI-01A 71 years, male, white, stage:Stage I, alive, 180 days 423.3
TCGA-DD-A4NE-01A 75 years, female, white, stage:Stage IIIA, dead, 660 days 422.5
TCGA-G3-A25U-01A 63 years, female, asian, stage:Stage I, alive, 1636 days 422.4
TCGA-ED-A4XI-01A 58 years, male, asian, stage:Stage II, alive, 819 days 422.3
TCGA-G3-A7M6-01A 60 years, female, white, stage:Stage I, alive, 632 days 420.0
TCGA-DD-AACC-01A 61 years, male, asian, stage:Stage I, dead, 1685 days 419.3
TCGA-G3-A5SK-01A 58 years, male, white, stage:Stage I, alive, 744 days 418.4
TCGA-CC-A7IE-01A 57 years, male, asian, stage:Stage IIIA, dead, 217 days 417.6
TCGA-DD-A4NP-01A 32 years, male, white, stage:Stage I, alive, 3308 days 417.5
TCGA-BC-A110-01A 51 years, female, black or african american, stage:'--, dead, 2116 days 412.1
TCGA-ED-A5KG-01A 60 years, female, asian, stage:Stage II, alive, 854 days 410.6
TCGA-DD-AACL-01A 66 years, female, asian, stage:Stage I, dead, 107 days 407.4
TCGA-ED-A459-01A 47 years, male, asian, stage:Stage II, alive, 910 days 405.8
TCGA-XR-A8TC-01A 43 years, female, white, stage:Stage I, alive, 1339 days 405.5
TCGA-RC-A7S9-01A 47 years, female, asian, stage:Stage I, alive, 640 days 404.6
TCGA-2Y-A9GU-01A 55 years, female, white, stage:Stage I, alive, 1939 days 402.4
TCGA-MI-A75C-01A 64 years, male, white, stage:Stage I, alive, 291 days 394.0
TCGA-G3-A3CH-01A 53 years, male, asian, stage:Stage IIIA, alive, 780 days 391.7
TCGA-CC-A7II-01A 54 years, male, asian, stage:Stage IIIA, alive, 399 days 391.6
TCGA-2Y-A9GW-01A 64 years, male, white, stage:Stage I, dead, 1271 days 389.3
TCGA-CC-A3MA-01A 61 years, male, asian, stage:Stage IIIA, dead, 303 days 387.2
TCGA-UB-AA0U-01A 60 years, male, white, stage:Stage II, alive, 327 days 386.5
TCGA-5R-AA1D-01A 17 years, female, white, stage:Stage IIIA, alive, 449 days 367.6
TCGA-4R-AA8I-01A 66 years, male, white, stage:Stage II, dead, 262 days 364.1
TCGA-ED-A97K-01A 54 years, male, asian, stage:Stage IIIA, alive, 6 days 361.4
TCGA-DD-AAEG-01A 59 years, female, asian, stage:Stage I, alive, 719 days 360.3
TCGA-DD-A1ED-01A 68 years, male, white, stage:Stage I, alive, 2301 days 354.8
TCGA-DD-AAE6-01A 59 years, female, asian, stage:Stage I, alive, 141 days 350.8
TCGA-DD-AACW-01A 43 years, male, asian, stage:Stage I, alive, 1424 days 346.5
TCGA-ED-A8O5-01A 59 years, female, asian, stage:Stage IIIA, alive, 406 days 334.2
TCGA-CC-A3MC-01A 54 years, male, asian, stage:Stage IIIA, alive, 363 days 334.1
TCGA-CC-A5UD-01A 45 years, male, asian, stage:Stage IIIA, dead, 304 days 331.8
TCGA-DD-AADA-01A 66 years, female, asian, stage:Stage I, alive, 1233 days 329.3
TCGA-BC-A10W-01A 50 years, male, asian, stage:'--, dead, 91 days 326.5
TCGA-UB-AA0V-01A 69 years, female, white, stage:Stage I, alive, 314 days 323.3
TCGA-DD-A4NQ-01A 60 years, male, white, stage:Stage II, dead, 373 days 322.8
TCGA-MR-A8JO-01A 34 years, male, white, stage:Stage I, alive, 330 days 322.3
TCGA-BC-A216-01A 62 years, female, white, stage:Stage IIIA, alive, 1351 days 320.1
TCGA-FV-A496-01A 84 years, female, white, stage:Stage I, alive, 10 days 313.5
TCGA-DD-A4NL-01A 46 years, male, white, stage:Stage I, alive, 1711 days 308.8
TCGA-WX-AA47-01A 33 years, female, white, stage:Stage IIIA, dead, 556 days 304.9
TCGA-CC-A7IJ-01A 56 years, male, asian, stage:Stage II, alive, 382 days 278.6
TCGA-DD-AAD6-01A 66 years, male, asian, stage:Stage IIIA, alive, 672 days 272.2
TCGA-G3-A7M8-01A 31 years, male, asian, stage:Stage I, alive, 430 days 257.7
TCGA-LG-A9QD-01A 68 years, male, white, stage:Stage IIIA, alive, 366 days 251.9
TCGA-DD-AACO-01A 40 years, male, asian, stage:Stage I, alive, 1876 days 233.0
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LIVER HEPATOCELLULAR CARCINOMA (VALIDATION) - Interactive survival scatter ploti

The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.

The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".

Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.

Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.

& Survival analysisi

Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.

GPX4 is not prognostic in Liver Hepatocellular Carcinoma (validation)


Stage:
Survival analysis
Current cut offi

Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.

:
Best expression cut offi

Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .

When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.

: 790.38
Median expressioni

Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.

: N/A
Median follow up timei

Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.

: N/A
P scorei

Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.

N/A
5-year survival highi

5-year survival for patients with higher expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
5-year survival lowi

5-year survival for patients with lower expression than the expression cutoff.

For melanoma and glioma, 3-year survival is shown.

N/A
TCGA RNA samplesi

RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .

Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.

Average pTPM 582.2
Number of samples 231
Samples
Sample Description pTPM
DO23511 83 years, female, NA, stage:3, dead, 180 days 1515.4
DO23534 60 years, male, NA, stage:2, alive, 840 days 1376.9
DO50839 47 years, female, NA, stage:3, alive, 330 days 1314.6
DO48751 68 years, male, NA, stage:2, dead, 480 days 1262.9
DO45209 70 years, male, NA, stage:4, alive, 1350 days 1222.2
DO50806 70 years, male, NA, stage:4, alive, 540 days 1153.3
DO45305 66 years, male, NA, stage:4, alive, 300 days 1152.9
DO50814 83 years, male, NA, stage:3, alive, 420 days 1112.6
DO50809 56 years, male, NA, stage:3, dead, 720 days 1112.1
DO45131 53 years, male, NA, stage:4, dead, 360 days 1107.8
DO45241 49 years, male, NA, stage:1, alive, 1080 days 1082.5
DO48697 64 years, female, NA, stage:2, dead, 810 days 1050.4
DO23513 76 years, male, NA, stage:3, alive, 1200 days 1044.4
DO23532 71 years, female, NA, stage:1, alive, 960 days 1038.5
DO50840 49 years, male, NA, stage:2, alive, 330 days 1003.0
DO50811 62 years, male, NA, stage:1, alive, 450 days 990.8
DO50802 49 years, male, NA, stage:2, alive, 930 days 986.2
DO48741 64 years, male, NA, stage:3, alive, 240 days 981.4
DO23535 67 years, male, NA, stage:1, alive, 960 days 980.4
DO50832 73 years, male, NA, stage:3, alive, 90 days 975.1
DO23547 74 years, male, NA, stage:1, alive, 1020 days 961.0
DO45145 78 years, male, NA, stage:3, dead, 60 days 930.1
DO45093 71 years, male, NA, stage:2, dead, 720 days 912.0
DO23519 65 years, male, NA, stage:3, alive, 630 days 908.0
DO23523 52 years, male, NA, stage:3, alive, 1080 days 904.6
DO23516 69 years, male, NA, stage:3, dead, 20 days 896.8
DO48759 73 years, male, NA, stage:3, alive, 720 days 893.6
DO45255 81 years, male, NA, stage:3, alive, 720 days 891.9
DO45299 70 years, female, NA, stage:1, alive, 1440 days 876.5
DO45217 69 years, female, NA, stage:3, dead, 270 days 875.0
DO23539 77 years, male, NA, stage:1, alive, 1110 days 866.1
DO45123 78 years, female, NA, stage:2, dead, 570 days 866.1
DO50816 63 years, male, NA, stage:2, alive, 390 days 859.8
DO50813 56 years, male, NA, stage:2, alive, 420 days 854.2
DO50778 60 years, male, NA, stage:4, alive, 630 days 847.6
DO48737 52 years, male, NA, stage:1, alive, 720 days 845.7
DO23533 61 years, male, NA, stage:2, alive, 900 days 844.0
DO50793 76 years, male, NA, stage:4, alive, 540 days 829.4
DO48732 73 years, male, NA, stage:3, alive, 630 days 823.0
DO48721 58 years, female, NA, stage:1, alive, 900 days 822.4
DO23545 67 years, male, NA, stage:2, dead, 570 days 817.5
DO45149 70 years, female, NA, stage:2, alive, 1260 days 811.9
DO48682 72 years, female, NA, stage:3, dead, 120 days 806.6
DO45285 59 years, male, NA, stage:3, alive, 480 days 800.4
DO45171 56 years, male, NA, stage:3, alive, 600 days 798.4
DO50791 79 years, female, NA, stage:1, dead, 480 days 798.4
DO45129 61 years, male, NA, stage:3, alive, 1470 days 793.6
DO45289 78 years, female, NA, stage:3, alive, 360 days 787.1
DO50804 81 years, male, NA, stage:2, alive, 720 days 773.7
DO23546 63 years, male, NA, stage:2, alive, 1050 days 772.2
DO48693 71 years, male, NA, stage:2, alive, 900 days 771.3
DO23540 73 years, male, NA, stage:1, alive, 750 days 762.4
DO48679 72 years, male, NA, stage:2, alive, 1200 days 760.6
DO48704 68 years, female, NA, stage:3, alive, 750 days 750.1
DO50799 66 years, female, NA, stage:2, alive, 540 days 745.5
DO50783 62 years, male, NA, stage:3, alive, 480 days 743.4
DO50859 77 years, male, NA, stage:2, alive, 180 days 723.6
DO45095 66 years, male, NA, stage:2, alive, 1620 days 722.9
DO50817 75 years, male, NA, stage:2, alive, 390 days 721.7
DO45119 74 years, male, NA, stage:3, dead, 510 days 721.0
DO50776 75 years, male, NA, stage:1, alive, 690 days 719.6
DO48727 81 years, female, NA, stage:2, dead, 390 days 713.8
DO45101 63 years, male, NA, stage:2, alive, 1680 days 706.6
DO48701 78 years, male, NA, stage:2, alive, 780 days 704.0
DO45249 57 years, male, NA, stage:1, alive, 630 days 703.6
DO45303 62 years, female, NA, stage:3, alive, 990 days 699.0
DO45115 81 years, male, NA, stage:2, alive, 840 days 696.6
DO48747 62 years, male, NA, stage:3, alive, 540 days 686.6
DO45301 56 years, male, NA, stage:2, dead, 1440 days 676.4
DO23525 71 years, male, NA, stage:4, alive, 1050 days 665.0
DO50857 72 years, male, NA, stage:2, alive, 210 days 663.9
DO23515 71 years, male, NA, stage:2, alive, 1230 days 660.3
DO45103 47 years, male, NA, stage:3, alive, 450 days 651.9
DO45105 61 years, male, NA, stage:1, alive, 1680 days 644.0
DO45273 62 years, male, NA, stage:2, alive, 480 days 643.1
DO23548 78 years, female, NA, stage:1, alive, 840 days 639.3
DO23512 60 years, male, NA, stage:1, alive, 1260 days 636.0
DO45205 67 years, female, NA, stage:2, dead, 90 days 624.8
DO45297 61 years, female, NA, stage:4, dead, 1260 days 624.5
DO45287 74 years, male, NA, stage:1, alive, 390 days 623.2
DO48717 54 years, male, NA, stage:4, dead, 180 days 622.3
DO50825 70 years, male, NA, stage:2, alive, 390 days 620.5
DO48746 76 years, male, NA, stage:3, alive, 570 days 617.5
DO45109 63 years, male, NA, stage:2, alive, 1590 days 612.0
DO45221 75 years, female, NA, stage:4, dead, 390 days 606.1
DO23508 79 years, female, NA, stage:2, alive, 390 days 599.7
DO48695 77 years, male, NA, stage:2, alive, 720 days 598.9
DO50818 65 years, male, NA, stage:2, alive, 510 days 595.7
DO23521 63 years, male, NA, stage:3, alive, 1110 days 595.3
DO45227 57 years, female, NA, stage:2, alive, 1020 days 588.8
DO45263 67 years, male, NA, stage:3, dead, 270 days 579.8
DO48719 80 years, male, NA, stage:2, alive, 690 days 578.2
DO45125 58 years, male, NA, stage:3, alive, 1680 days 577.0
DO45107 63 years, female, NA, stage:2, alive, 1710 days 574.1
DO45261 74 years, male, NA, stage:3, alive, 990 days 570.0
DO48720 62 years, female, NA, stage:2, alive, 570 days 569.0
DO50822 66 years, male, NA, stage:2, alive, 510 days 568.8
DO23543 63 years, male, NA, stage:2, alive, 1020 days 568.6
DO45091 56 years, male, NA, stage:2, dead, 1320 days 568.2
DO50819 72 years, female, NA, stage:2, alive, 510 days 567.4
DO50855 47 years, male, NA, stage:2, alive, 570 days 566.5
DO48715 58 years, female, NA, stage:2, dead, 690 days 566.2
DO45275 65 years, male, NA, stage:3, dead, 10 days 559.6
DO48716 71 years, male, NA, stage:2, alive, 720 days 559.6
DO50774 68 years, female, NA, stage:2, alive, 720 days 556.5
DO23542 66 years, male, NA, stage:3, alive, 960 days 554.8
DO45159 65 years, male, NA, stage:3, alive, 1470 days 551.1
DO45215 65 years, male, NA, stage:2, alive, 1170 days 551.1
DO48674 80 years, male, NA, stage:2, alive, 1260 days 546.4
DO45135 77 years, male, NA, stage:1, alive, 1410 days 546.2
DO23541 65 years, male, NA, stage:2, alive, 930 days 545.5
DO50845 72 years, male, NA, stage:3, alive, 210 days 542.3
DO45111 74 years, male, NA, stage:2, alive, 1590 days 541.5
DO45127 73 years, male, NA, stage:3, dead, 420 days 541.4
DO45201 49 years, male, NA, stage:1, alive, 900 days 539.4
DO23549 74 years, male, NA, stage:3, alive, 990 days 535.3
DO48730 73 years, female, NA, stage:2, alive, 630 days 532.2
DO50808 68 years, male, NA, stage:2, alive, 570 days 530.0
DO45259 65 years, male, NA, stage:3, alive, 330 days 529.0
DO45139 63 years, male, NA, stage:3, alive, 1320 days 527.3
DO45169 74 years, male, NA, stage:3, alive, 1350 days 525.6
DO45153 77 years, female, NA, stage:2, alive, 1380 days 524.6
DO45269 59 years, male, NA, stage:3, alive, 750 days 524.6
DO45092 62 years, male, NA, stage:4, dead, 1200 days 520.5
DO45203 71 years, female, NA, stage:2, alive, 1170 days 516.9
DO23510 80 years, female, NA, stage:2, alive, 870 days 515.7
DO48733 72 years, male, NA, stage:2, alive, 600 days 514.7
DO50805 72 years, male, NA, stage:2, alive, 690 days 514.5
DO23536 56 years, male, NA, stage:2, alive, 930 days 512.2
DO45251 57 years, female, NA, stage:2, alive, 900 days 511.7
DO48723 73 years, male, NA, stage:1, alive, 600 days 510.7
DO45163 76 years, male, NA, stage:2, alive, 960 days 506.9
DO45117 73 years, female, NA, stage:2, dead, 1110 days 505.5
DO23517 62 years, male, NA, stage:2, alive, 1200 days 502.0
DO45167 67 years, male, NA, stage:2, dead, 1440 days 500.4
DO50829 78 years, male, NA, stage:3, alive, 570 days 498.7
DO45141 73 years, male, NA, stage:2, alive, 1320 days 498.6
DO23524 71 years, female, NA, stage:2, alive, 1050 days 497.6
DO50785 37 years, male, NA, stage:4, dead, 90 days 491.7
DO48712 50 years, male, NA, stage:2, alive, 810 days 490.6
DO45267 73 years, male, NA, stage:3, dead, 570 days 490.5
DO45097 69 years, male, NA, stage:3, alive, 1620 days 489.8
DO50787 63 years, male, NA, stage:3, alive, 480 days 488.8
DO50850 74 years, male, NA, stage:3, alive, 720 days 482.6
DO45283 60 years, male, NA, stage:3, alive, 510 days 481.3
DO23528 45 years, female, NA, stage:2, alive, 1020 days 481.0
DO23529 72 years, male, NA, stage:4, alive, 930 days 479.9
DO48700 78 years, female, NA, stage:2, alive, 810 days 479.7
DO45121 61 years, male, NA, stage:3, alive, 1530 days 477.7
DO45099 46 years, male, NA, stage:3, alive, 1590 days 477.0
DO48677 58 years, male, NA, stage:3, alive, 1140 days 472.6
DO48672 81 years, male, NA, stage:2, alive, 450 days 471.7
DO45155 69 years, male, NA, stage:2, alive, 2160 days 464.3
DO23537 79 years, male, NA, stage:2, dead, 900 days 461.7
DO45143 69 years, male, NA, stage:3, alive, 1290 days 460.5
DO45161 74 years, male, NA, stage:2, dead, 540 days 453.0
DO48706 72 years, male, NA, stage:2, alive, 870 days 452.0
DO45094 76 years, male, NA, stage:3, alive, 1650 days 450.0
DO45199 86 years, female, NA, stage:2, alive, 1350 days 449.8
DO45133 64 years, male, NA, stage:3, dead, 660 days 447.4
DO45207 68 years, male, NA, stage:1, alive, 1050 days 446.7
DO45175 74 years, male, NA, stage:2, alive, 1140 days 443.4
DO45197 51 years, male, NA, stage:2, alive, 1170 days 442.7
DO227643 79 years, male, NA, stage:2, alive, 1260 days 440.5
DO50800 74 years, male, NA, stage:2, alive, 510 days 440.3
DO23526 66 years, male, NA, stage:3, alive, 1050 days 419.7
DO227801 77 years, female, NA, stage:1, alive, 660 days 417.2
DO50807 67 years, male, NA, stage:1, alive, 540 days 414.8
DO23544 67 years, male, NA, stage:2, alive, 960 days 414.2
DO45229 74 years, male, NA, stage:1, alive, 990 days 413.1
DO45177 81 years, female, NA, stage:3, alive, 1260 days 411.6
DO48760 70 years, female, NA, stage:2, alive, 690 days 410.4
DO45213 58 years, male, NA, stage:1, alive, 1200 days 408.4
DO45223 67 years, male, NA, stage:4, alive, 1020 days 406.1
DO48736 76 years, female, NA, stage:1, alive, 600 days 403.6
DO45277 64 years, male, NA, stage:3, alive, 600 days 403.4
DO45187 32 years, female, NA, stage:1, alive, 1260 days 395.1
DO45165 75 years, male, NA, stage:2, alive, 690 days 391.8
DO45281 83 years, male, NA, stage:4, alive, 750 days 391.1
DO45307 54 years, female, NA, stage:4, dead, 240 days 390.6
DO50803 62 years, female, NA, stage:1, alive, 540 days 378.3
DO23509 60 years, male, NA, stage:3, dead, 780 days 377.4
DO45185 89 years, male, NA, stage:2, alive, 600 days 374.8
DO48728 74 years, female, NA, stage:2, alive, 150 days 365.5
DO23530 53 years, male, NA, stage:4, dead, 180 days 365.0
DO50815 62 years, male, NA, stage:3, alive, 150 days 362.9
DO45225 69 years, male, NA, stage:1, alive, 1050 days 361.9
DO45237 58 years, male, NA, stage:2, alive, 900 days 360.4
DO45157 62 years, male, NA, stage:2, alive, 1980 days 358.0
DO48757 68 years, female, NA, stage:3, alive, 480 days 352.5
DO45179 78 years, female, NA, stage:2, alive, 600 days 350.0
DO23514 64 years, male, NA, stage:2, alive, 1290 days 344.4
DO45279 67 years, male, NA, stage:3, alive, 1290 days 342.9
DO48742 76 years, male, NA, stage:2, alive, 600 days 331.9
DO45096 69 years, male, NA, stage:2, dead, 1290 days 326.5
DO45257 46 years, male, NA, stage:3, alive, 810 days 326.1
DO45173 63 years, male, NA, stage:3, alive, 1170 days 320.3
DO45113 58 years, male, NA, stage:3, alive, 1560 days 314.1
DO23551 73 years, male, NA, stage:3, dead, 150 days 313.5
DO45137 38 years, male, NA, stage:1, alive, 1320 days 311.0
DO45219 78 years, male, NA, stage:2, alive, 1080 days 310.3
DO45183 72 years, female, NA, stage:2, dead, 570 days 307.5
DO23538 67 years, male, NA, stage:2, alive, 450 days 304.3
DO48725 66 years, male, NA, stage:1, alive, 780 days 296.9
DO23527 72 years, male, NA, stage:1, alive, 1050 days 294.9
DO50798 77 years, male, NA, stage:3, dead, 30 days 294.8
DO45253 50 years, male, NA, stage:2, alive, 870 days 293.3
DO23531 78 years, female, NA, stage:3, alive, 900 days 291.4
DO45235 68 years, female, NA, stage:1, alive, 900 days 289.9
DO45211 76 years, male, NA, stage:3, alive, 240 days 289.0
DO45191 61 years, female, NA, stage:2, alive, 1200 days 287.4
DO45181 84 years, female, NA, stage:2, alive, 1200 days 287.3
DO45195 62 years, male, NA, stage:1, alive, 390 days 283.2
DO48761 55 years, male, NA, stage:2, alive, 870 days 281.3
DO45239 42 years, male, NA, stage:2, alive, 870 days 279.4
DO45189 85 years, female, NA, stage:2, alive, 1200 days 275.5
DO45245 75 years, female, NA, stage:2, dead, 240 days 273.0
DO45233 83 years, male, NA, stage:3, alive, 900 days 271.9
DO23552 80 years, female, NA, stage:1, alive, 810 days 271.1
DO48743 69 years, female, NA, stage:2, alive, 570 days 258.1
DO48681 57 years, male, NA, stage:2, alive, 900 days 254.1
DO45243 74 years, female, NA, stage:3, alive, 930 days 252.2
DO45231 84 years, male, NA, stage:2, alive, 930 days 251.4
DO50844 75 years, male, NA, stage:4, alive, 300 days 249.6
DO23518 67 years, male, NA, stage:2, alive, 1320 days 244.5
DO50820 77 years, female, NA, stage:3, alive, 510 days 230.1
DO23550 69 years, male, NA, stage:1, alive, 990 days 224.8
DO45265 73 years, male, NA, stage:3, alive, 1020 days 217.5
DO45247 31 years, female, NA, stage:2, alive, 210 days 194.3
DO50789 73 years, female, NA, stage:2, alive, 570 days 184.4
DO45193 68 years, female, NA, stage:4, dead, 120 days 180.3
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LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples 330
Samples
Sample ID Sample type nRPX
743 Tumor 1.3
484 Normal 1.0
534 Normal 0.9
695 Tumor 0.9
221 Tumor 0.9
785 Tumor 0.9
1014 Normal 0.8
482 Normal 0.8
944 Normal 0.8
356 Normal 0.8
647 Tumor 0.7
466 Normal 0.7
1022 Normal 0.7
786 Normal 0.6
1032 Normal 0.6
958 Normal 0.6
954 Normal 0.6
648 Normal 0.6
465 Tumor 0.6
483 Tumor 0.6
162 Normal 0.6
742 Normal 0.6
481 Tumor 0.6
918 Normal 0.6
518 Normal 0.6
627 Tumor 0.6
546 Normal 0.6
553 Tumor 0.6
976 Normal 0.6
448 Normal 0.6
728 Normal 0.6
824 Normal 0.6
964 Normal 0.6
128 Normal 0.6
698 Normal 0.5
862 Normal 0.5
714 Normal 0.5
277 Tumor 0.5
968 Normal 0.5
696 Normal 0.5
132 Normal 0.5
926 Normal 0.5
723 Tumor 0.5
298 Normal 0.5
938 Normal 0.5
148 Normal 0.5
866 Normal 0.5
462 Normal 0.5
172 Normal 0.5
514 Normal 0.5
882 Normal 0.5
981 Tumor 0.5
616 Normal 0.5
665 Tumor 0.5
756 Normal 0.5
1016 Normal 0.4
472 Normal 0.4
342 Normal 0.4
922 Normal 0.4
1026 Normal 0.4
1045 Tumor 0.4
474 Normal 0.4
628 Normal 0.4
738 Normal 0.4
516 Normal 0.4
858 Normal 0.4
911 Tumor 0.4
874 Normal 0.4
435 Tumor 0.4
914 Normal 0.4
394 Normal 0.4
428 Normal 0.4
966 Normal 0.4
746 Normal 0.4
975 Tumor 0.4
364 Normal 0.4
258 Normal 0.4
436 Normal 0.4
222 Normal 0.4
916 Normal 0.4
114 Normal 0.3
498 Normal 0.3
278 Normal 0.3
568 Normal 0.3
196 Normal 0.3
686 Normal 0.3
136 Normal 0.3
666 Normal 0.3
1044 Normal 0.3
912 Normal 0.3
744 Normal 0.3
328 Normal 0.3
445 Tumor 0.3
424 Normal 0.3
868 Normal 0.3
228 Normal 0.3
816 Normal 0.3
852 Normal 0.3
713 Tumor 0.3
488 Normal 0.3
354 Normal 0.3
396 Normal 0.3
554 Normal 0.3
432 Normal 0.3
413 Tumor 0.3
778 Normal 0.3
344 Normal 0.3
716 Normal 0.3
924 Normal 0.3
538 Normal 0.2
618 Normal 0.2
818 Normal 0.2
412 Normal 0.2
111 Normal 0.2
426 Normal 0.2
722 Normal 0.2
727 Tumor 0.2
422 Normal 0.2
362 Normal 0.2
414 Normal 0.2
1043 Tumor 0.2
721 Tumor 0.2
268 Normal 0.2
494 Normal 0.2
984 Normal 0.2
564 Normal 0.2
864 Normal 0.2
314 Normal 0.2
1028 Normal 0.2
284 Normal 0.2
388 Normal 0.2
478 Normal 0.2
978 Normal 0.2
925 Tumor 0.2
963 Tumor 0.2
1042 Normal 0.2
188 Normal 0.2
982 Normal 0.2
286 Normal 0.2
142 Normal 0.2
526 Normal 0.2
131 Tumor 0.2
138 Normal 0.2
352 Normal 0.2
214 Normal 0.1
361 Tumor 0.1
878 Normal 0.1
456 Normal 0.1
262 Normal 0.1
642 Normal 0.1
212 Normal 0.1
267 Tumor 0.1
395 Tumor 0.1
211 Tumor 0.1
272 Normal 0.1
443 Tumor 0.1
884 Normal 0.1
881 Tumor 0.1
685 Tumor 0.1
446 Normal 0.1
358 Normal 0.1
921 Tumor 0.1
572 Normal 0.1
1025 Tumor 0.1
967 Tumor 0.1
285 Tumor 0.1
558 Normal 0.1
232 Normal 0.1
662 Normal 0.0
913 Tumor 0.0
416 Normal 0.0
937 Tumor 0.0
1031 Tumor 0.0
146 Normal 0.0
464 Normal 0.0
366 Normal 0.0
524 Normal 0.0
312 Normal 0.0
952 Normal 0.0
271 Tumor 0.0
636 Normal 0.0
857 Tumor 0.0
535 Tumor 0.0
492 Normal 0.0
415 Tumor 0.0
863 Tumor 0.0
574 Normal 0.0
135 Tumor -0.1
365 Tumor -0.1
376 Normal -0.1
917 Tumor -0.1
956 Normal -0.1
186 Normal -0.1
515 Tumor -0.1
124 Normal -0.1
1046 Normal -0.1
823 Tumor -0.1
741 Tumor -0.1
664 Normal -0.1
737 Tumor -0.1
528 Normal -0.1
224 Normal -0.1
444 Normal -0.1
545 Tumor -0.1
471 Tumor -0.1
815 Tumor -0.1
615 Tumor -0.1
125 Tumor -0.1
195 Tumor -0.1
525 Tumor -0.2
873 Tumor -0.2
223 Tumor -0.2
697 Tumor -0.2
434 Normal -0.2
487 Tumor -0.2
965 Tumor -0.2
126 Normal -0.2
1041 Tumor -0.2
297 Tumor -0.2
468 Normal -0.2
536 Normal -0.2
332 Normal -0.3
127 Tumor -0.3
523 Tumor -0.3
447 Tumor -0.3
477 Tumor -0.3
955 Tumor -0.3
672 Normal -0.3
513 Tumor -0.3
1015 Tumor -0.3
327 Tumor -0.3
915 Tumor -0.3
392 Normal -0.3
387 Tumor -0.3
617 Tumor -0.3
192 Normal -0.3
491 Tumor -0.3
943 Tumor -0.4
923 Tumor -0.4
533 Tumor -0.4
517 Tumor -0.4
187 Tumor -0.4
386 Normal -0.4
384 Normal -0.4
393 Tumor -0.4
461 Tumor -0.4
635 Tumor -0.4
452 Normal -0.4
427 Tumor -0.4
867 Tumor -0.5
563 Tumor -0.5
227 Tumor -0.5
877 Tumor -0.5
423 Tumor -0.5
817 Tumor -0.5
218 Normal -0.5
355 Tumor -0.5
353 Tumor -0.5
715 Tumor -0.5
185 Tumor -0.5
137 Tumor -0.5
814 Normal -0.5
363 Tumor -0.5
141 Tumor -0.5
341 Tumor -0.5
463 Tumor -0.5
777 Tumor -0.5
883 Tumor -0.5
191 Tumor -0.6
113 Tumor -0.6
261 Tumor -0.6
851 Tumor -0.6
977 Tumor -0.6
145 Tumor -0.6
368 Normal -0.6
957 Tumor -0.6
641 Tumor -0.6
425 Tumor -0.6
147 Tumor -0.6
724 Normal -0.6
351 Tumor -0.6
343 Tumor -0.6
421 Tumor -0.6
493 Tumor -0.6
455 Tumor -0.7
217 Tumor -0.7
983 Tumor -0.7
573 Tumor -0.7
431 Tumor -0.7
383 Tumor -0.7
283 Tumor -0.7
755 Tumor -0.7
331 Tumor -0.7
367 Tumor -0.7
865 Tumor -0.7
497 Tumor -0.7
861 Tumor -0.7
745 Tumor -0.7
467 Tumor -0.8
813 Tumor -0.8
473 Tumor -0.8
1013 Tumor -0.8
433 Tumor -0.9
411 Tumor -0.9
527 Tumor -0.9
661 Tumor -1.0
257 Tumor -1.0
213 Tumor -1.0
311 Tumor -1.0
231 Tumor -1.0
1021 Tumor -1.0
567 Tumor -1.0
112 Tumor -1.0
391 Tumor -1.0
357 Tumor -1.0
537 Tumor -1.1
1027 Tumor -1.1
375 Tumor -1.2
161 Tumor -1.2
451 Tumor -1.2
385 Tumor -1.2
557 Tumor -1.2
171 Tumor -1.3
951 Tumor -1.3
671 Tumor -1.4
953 Tumor -1.4
313 Tumor -1.5
663 Tumor -1.5
571 Tumor -1.6
123 Tumor -1.7
Show allShow less
LIVER CANCER - Protein expressioni

A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.

Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.

 

Antibody stainingi

Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.

Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.


Antibody HPA047224

Antibody HPA058546

Antibody CAB008630
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Carcinoma, Hepatocellular, NOS
Cholangiocarcinoma

Contact

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